The ultimate coding interview preparation course. Master 20 essential patterns with 100+ carefully curated problems, AI-powered hints, voice coaching, and detailed solutions. Includes advanced patterns like Backtracking, Trie, Union Find, and Segment Trees not found in the standard edition.
7-day free Pro trial included
Master the two pointers technique to efficiently solve problems involving sorted arrays, pair searching, and in-place array manipulation. This pattern reduces time complexity from O(nĀ²) to O(n).
Learn the fast and slow pointers (Floyd's Cycle Detection) technique to solve problems involving cycles in linked lists and arrays, and finding middle elements.
Master the sliding window technique for efficient processing of arrays and strings. Ideal for substring/subarray problems, reducing time complexity from O(nĀ²) to O(n) or O(n log n).
Master interval manipulation problems including merging overlapping intervals, finding intersections, and scheduling. Essential for calendar, scheduling, and range problems.
Master the cyclic sort pattern for sorting numbers in a given range [1..n] in O(n) time without extra space. Perfect for finding missing numbers, duplicates, and other range-based problems.
Master the linked list reversal pattern for reversing entire lists, sublists, and handling k-group reversals. Essential for linked list manipulation problems.
Master Breadth-First Search (BFS) for tree problems. Learn level-by-level traversal techniques for solving tree problems efficiently.
Master Depth-First Search (DFS) for tree problems. Learn recursive and iterative approaches for path-finding, sum problems, and tree traversal patterns.
Master the Two Heaps pattern for median finding and sliding window problems. Learn how to use max-heap and min-heap together to efficiently track median values.
Master the Subsets pattern for generating combinations, permutations, and subsets using BFS/DFS. Essential for problems involving combinations, permutations, and exploring all possible configurations.
Master the Modified Binary Search pattern for searching in rotated arrays, finding boundaries, and solving search variations. Essential for interview problems involving sorted arrays with twists.
Master the Bitwise XOR pattern for finding single numbers, swapping without temporary variables, and solving unique bit manipulation problems efficiently.
Master the Top K Elements pattern using heaps to efficiently find the K largest, smallest, or most frequent elements. Essential for optimization problems involving ranking and selection.
Master the K-Way Merge pattern for efficiently merging K sorted arrays or lists using heaps. Essential for problems involving multiple sorted data sources.
Master the Topological Sort pattern for ordering tasks with dependencies using Kahn's algorithm and DFS. Essential for scheduling, prerequisite problems, and detecting cycles in directed graphs.
Master the Dynamic Programming pattern for 0/1 Knapsack and related problems. Learn to solve optimization problems by breaking them down into overlapping subproblems with memoization and tabulation.
Master the Backtracking pattern for solving constraint satisfaction problems. Learn to explore all possible solutions systematically, prune invalid paths early, and solve complex problems like N-Queens, Combination Sum, and Word Search.
Master the Trie data structure for efficient string storage and retrieval. Learn to solve word search, autocomplete, and prefix-matching problems with optimal time complexity.
Master the Union Find pattern for tracking connected components, detecting cycles, and solving dynamic connectivity problems. Essential for graph algorithms and network analysis.
Master the Segment Tree data structure for efficient range queries and updates. Learn to solve range sum, range maximum, and order statistic problems with O(log n) operations.